Data quality strategy, framework important for accurate data products in industries

Establishing a data quality framework for ingestion and/or creation of data is important to ensure that the resultant information product, as consumed by the enterprise, is of high quality and fit for purpose, says master data and data quality company Pilog CEO and president Dr Salomon de Jager. Companies should have in place a strategic framework for the management of its master data and metadata classifications to ensure data is created, used and retired accurately and is easily usable across their systems as well as their interfaces with clients and suppliers. This concept links to data as a product and, therefore, the creation of an information product.

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